Introduction to data.table
1/16/24
Have R and RStudio installed on your computer
Install data.table, tidyverse, tictoc, and R.utils
Download the dataset here
R-Ladies is a world-wide organization with the mission of promoting gender diversity in the R community
Started in San Francisco in 2012 and now has 206 chapters and more than 93,000 members globally (check out rladies.org for a Shiny dashboard)
Started in September 2017 by Jenine Harris and Chelsea West
Co-organizers for 2023-24 include:
Today: Introduction to data.table with Susanna SupallaTBD: Quarto presentation with Jadey RyanWe will be recording this talk
Use the chat to ask questions (to everyone or directly to the host)
Code of Conduct
https://rladies.org/coc/
Visit rladies.org to learn about the mission and global work of R-Ladies
Susanna Supalla, PhD, first learned R and started loving data.table as a graduate student in Political Science at the University of Rochester. Since then she has gained over a decade of experience working as a data scientist in political and health tech. Over her career she has built and operationalized dozens of machine learning models predicting individual-level voting and healthcare utilization behavior, designed and analyzed large-scale field experiments testing novel outreach methods, supported development of data visualization and analysis products, and built R packages and data pipelines.
Today Susanna is a Staff Data Scientist at Hinge Health, a digital clinic for joint and muscle care, where she builds predictive models and designs experiments to better reach people most in need of physical therapy. Susanna also authored a chapter in the newly released book, Non-Academic Careers for Quantitative Social Scientists.
R-Ladies theme for Quarto Presentations. Code available on GitHub.